github/DB-GPT
1
0
Fork 0
mirror of https://github.com/csunny/DB-GPT.git synced 2025-07-30 07:11:56 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix: VectorStore can not be attached to EmbeddingAssemblerOperator bug (#2170)

Browse Source
This commit is contained in:
Aries-ckt 2024-12-02 20:56:23 +08:00 committed by GitHub
parent a14eeb56dd
commit 4fa60037dd
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
11 changed files with 121 additions and 66 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
dbgpt/rag/knowledge/pdf.py
View File

@ -232,6 +232,7 @@ class PDFKnowledge(Knowledge):
"page": page,
"type": "excel",
"title": file_title,
"source": self.file_path,
}
page_documents.append(
Document(
@ -244,6 +245,7 @@ class PDFKnowledge(Knowledge):
"page": page,
"type": "text",
"title": file_title,
"source": self.file_path,
}
page_documents.append(
Document(content=inside_content, metadata=content_metadata)

2
dbgpt/rag/operators/embedding.py
View File

@ -155,7 +155,7 @@ class EmbeddingAssemblerOperator(AssemblerOperator[Knowledge, List[Chunk]]):
IOField.build_from(
_("Chunks"),
"chunks",
Chunk,
List[Chunk],
description=_(
"The assembled chunks, it has been persisted to vector " "store."
),

8
dbgpt/rag/operators/knowledge.py
View File

@ -20,7 +20,7 @@ class KnowledgeOperator(MapOperator[str, Knowledge]):
"""Knowledge Factory Operator."""
metadata = ViewMetadata(
label=_("Knowledge Operator"),
label=_("Knowledge Loader Operator"),
name="knowledge_operator",
category=OperatorCategory.RAG,
description=_(
@ -30,7 +30,7 @@ class KnowledgeOperator(MapOperator[str, Knowledge]):
IOField.build_from(
_("knowledge datasource"),
"knowledge datasource",
str,
dict,
_("knowledge datasource, which can be a document, url, or text."),
)
],
@ -89,7 +89,7 @@ class KnowledgeOperator(MapOperator[str, Knowledge]):
self._datasource = datasource
self._knowledge_type = KnowledgeType.get_by_value(knowledge_type)
async def map(self, datasource: str) -> Knowledge:
async def map(self, datasource: dict) -> Knowledge:
"""Create knowledge from datasource."""
if self._datasource:
datasource = self._datasource
@ -120,7 +120,7 @@ class ChunksToStringOperator(MapOperator[List[Chunk], str]):
IOField.build_from(
_("Chunks"),
"chunks",
Chunk,
List[Chunk],
description=_("The input chunks."),
is_list=True,
)

42
dbgpt/serve/rag/connector.py
View File

@ -8,17 +8,9 @@ from typing import Any, DefaultDict, Dict, List, Optional, Tuple, Type, cast
from dbgpt.app.component_configs import CFG
from dbgpt.core import Chunk, Embeddings
from dbgpt.core.awel.flow import (
FunctionDynamicOptions,
OptionValue,
Parameter,
ResourceCategory,
register_resource,
)
from dbgpt.rag.index.base import IndexStoreBase, IndexStoreConfig
from dbgpt.storage.vector_store.base import VectorStoreConfig
from dbgpt.storage.vector_store.filters import MetadataFilters
from dbgpt.util.i18n_utils import _
logger = logging.getLogger(__name__)
@ -26,40 +18,6 @@ connector: Dict[str, Tuple[Type, Type]] = {}
pools: DefaultDict[str, Dict] = defaultdict(dict)
def _load_vector_options() -> List[OptionValue]:
from dbgpt.storage import vector_store
return [
OptionValue(label=cls, name=cls, value=cls)
for cls in vector_store.__all__
if issubclass(getattr(vector_store, cls)[0], IndexStoreBase)
]
@register_resource(
_("Vector Store Connector"),
"vector_store_connector",
category=ResourceCategory.VECTOR_STORE,
parameters=[
Parameter.build_from(
_("Vector Store Type"),
"vector_store_type",
str,
description=_("The type of vector store."),
options=FunctionDynamicOptions(func=_load_vector_options),
),
Parameter.build_from(
_("Vector Store Implementation"),
"vector_store_config",
VectorStoreConfig,
description=_("The vector store implementation."),
optional=True,
default=None,
),
],
# Compatible with the old version
alias=["dbgpt.storage.vector_store.connector.VectorStoreConnector"],
)
class VectorStoreConnector:
"""The connector for vector store.

1
dbgpt/storage/knowledge_graph/community_summary.py
View File

@ -197,7 +197,6 @@ class CommunitySummaryKnowledgeGraph(BuiltinKnowledgeGraph):
async def _aload_document_graph(self, chunks: List[Chunk]) -> None:
"""Load the knowledge graph from the chunks.
The chunks include the doc structure.
"""
if not self._document_graph_enabled:

22
dbgpt/storage/vector_store/chroma_store.py
View File

@ -21,10 +21,10 @@ CHROMA_COLLECTION_NAME = "langchain"
@register_resource(
_("Chroma Vector Store"),
"chroma_vector_store",
_("Chroma Config"),
"chroma_vector_config",
category=ResourceCategory.VECTOR_STORE,
description=_("Chroma vector store."),
description=_("Chroma vector store config."),
parameters=[
*_COMMON_PARAMETERS,
Parameter.build_from(
@ -53,6 +53,22 @@ class ChromaVectorConfig(VectorStoreConfig):
)
@register_resource(
_("Chroma Vector Store"),
"chroma_vector_store",
category=ResourceCategory.VECTOR_STORE,
description=_("Chroma vector store."),
parameters=[
Parameter.build_from(
_("Chroma Config"),
"vector_store_config",
ChromaVectorConfig,
description=_("the chroma config of vector store."),
optional=True,
default=None,
),
],
)
class ChromaStore(VectorStoreBase):
"""Chroma vector store."""

22
dbgpt/storage/vector_store/elastic_store.py
View File

@ -22,8 +22,8 @@ logger = logging.getLogger(__name__)
@register_resource(
_("ElasticSearch Vector Store"),
"elasticsearch_vector_store",
_("Elastic Vector Config"),
"elasticsearch_vector_config",
category=ResourceCategory.VECTOR_STORE,
parameters=[
*_COMMON_PARAMETERS,
@ -72,7 +72,7 @@ logger = logging.getLogger(__name__)
default="index_name_test",
),
],
description=_("Elasticsearch vector store."),
description=_("Elasticsearch vector config."),
)
class ElasticsearchVectorConfig(VectorStoreConfig):
"""Elasticsearch vector store config."""
@ -116,6 +116,22 @@ class ElasticsearchVectorConfig(VectorStoreConfig):
)
@register_resource(
_("Elastic Vector Store"),
"elastic_vector_store",
category=ResourceCategory.VECTOR_STORE,
description=_("Elastic vector store."),
parameters=[
Parameter.build_from(
_("Elastic Config"),
"vector_store_config",
ElasticsearchVectorConfig,
description=_("the elastic config of vector store."),
optional=True,
default=None,
),
],
)
class ElasticStore(VectorStoreBase):
"""Elasticsearch vector store."""

22
dbgpt/storage/vector_store/milvus_store.py
View File

@ -22,8 +22,8 @@ logger = logging.getLogger(__name__)
@register_resource(
_("Milvus Vector Store"),
"milvus_vector_store",
_("Milvus Config"),
"milvus_vector_config",
category=ResourceCategory.VECTOR_STORE,
parameters=[
*_COMMON_PARAMETERS,
@ -91,7 +91,7 @@ logger = logging.getLogger(__name__)
default="vector",
),
],
description=_("Milvus vector store."),
description=_("Milvus vector config."),
)
class MilvusVectorConfig(VectorStoreConfig):
"""Milvus vector store config."""
@ -139,6 +139,22 @@ class MilvusVectorConfig(VectorStoreConfig):
)
@register_resource(
_("Milvus Vector Store"),
"milvus_vector_store",
category=ResourceCategory.VECTOR_STORE,
description=_("Milvus vector store."),
parameters=[
Parameter.build_from(
_("Milvus Config"),
"vector_store_config",
MilvusVectorConfig,
description=_("the milvus config of vector store."),
optional=True,
default=None,
),
],
)
class MilvusStore(VectorStoreBase):
"""Milvus vector store."""

22
dbgpt/storage/vector_store/oceanbase_store.py
View File

@ -73,8 +73,8 @@ def _normalize(vector: List[float]) -> List[float]:
@register_resource(
_("OceanBase Vector Store"),
"oceanbase_vector_store",
_("OceanBase Config"),
"oceanbase_vector_config",
category=ResourceCategory.VECTOR_STORE,
parameters=[
*_COMMON_PARAMETERS,
@ -119,7 +119,7 @@ def _normalize(vector: List[float]) -> List[float]:
default=None,
),
],
description="OceanBase vector store.",
description="OceanBase vector store config.",
)
class OceanBaseConfig(VectorStoreConfig):
"""OceanBase vector store config."""
@ -152,6 +152,22 @@ class OceanBaseConfig(VectorStoreConfig):
)
@register_resource(
_("OceanBase Vector Store"),
"ob_vector_store",
category=ResourceCategory.VECTOR_STORE,
description=_("OceanBase vector store."),
parameters=[
Parameter.build_from(
_("OceanBase Config"),
"vector_store_config",
OceanBaseConfig,
description=_("the ob config of vector store."),
optional=True,
default=None,
),
],
)
class OceanBaseStore(VectorStoreBase):
"""OceanBase vector store."""

22
dbgpt/storage/vector_store/pgvector_store.py
View File

@ -18,8 +18,8 @@ logger = logging.getLogger(__name__)
@register_resource(
_("PG Vector Store"),
"pg_vector_store",
_("PGVector Config"),
"pg_vector_config",
category=ResourceCategory.VECTOR_STORE,
parameters=[
*_COMMON_PARAMETERS,
@ -35,7 +35,7 @@ logger = logging.getLogger(__name__)
default=None,
),
],
description="PG vector store.",
description="PG vector config.",
)
class PGVectorConfig(VectorStoreConfig):
"""PG vector store config."""
@ -49,6 +49,22 @@ class PGVectorConfig(VectorStoreConfig):
)
@register_resource(
_("PG Vector Store"),
"pg_vector_store",
category=ResourceCategory.VECTOR_STORE,
description=_("PG vector store."),
parameters=[
Parameter.build_from(
_("PG Config"),
"vector_store_config",
PGVectorConfig,
description=_("the pg config of vector store."),
optional=True,
default=None,
),
],
)
class PGVectorStore(VectorStoreBase):
"""PG vector store.

22
dbgpt/storage/vector_store/weaviate_store.py
View File

@ -15,10 +15,10 @@ logger = logging.getLogger(__name__)
@register_resource(
_("Weaviate Vector Store"),
"weaviate_vector_store",
_("Weaviate Config"),
"weaviate_vector_config",
category=ResourceCategory.VECTOR_STORE,
description=_("Weaviate vector store."),
description=_("Weaviate vector config."),
parameters=[
*_COMMON_PARAMETERS,
Parameter.build_from(
@ -56,6 +56,22 @@ class WeaviateVectorConfig(VectorStoreConfig):
)
@register_resource(
_("Weaviate Vector Store"),
"weaviate_vector_store",
category=ResourceCategory.VECTOR_STORE,
description=_("Weaviate vector store."),
parameters=[
Parameter.build_from(
_("Weaviate Config"),
"vector_store_config",
WeaviateVectorConfig,
description=_("the weaviate config of vector store."),
optional=True,
default=None,
),
],
)
class WeaviateStore(VectorStoreBase):
"""Weaviate database."""